Research data - It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing
Datacite citation style:
Agahari, Wirawan; Ofe, Hosea; de Reuver, Mark (2023): Research data - It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20406330.v1
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Dataset
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version 2 - 2023-04-24 (latest)
version 1 - 2023-04-11
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licence
CC BY 4.0
This dataset is a supplementary document to the article entitled "It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing." It is also a supplementary document for Chapter 4 of the dissertation entitled "The impact of Multi-Party Computation on data sharing decisions in data marketplaces: insights from businesses and consumers". The data was collected through semi-structured interviews conducted in June-October 2020. Further details are provided in the article.
history
- 2023-04-11 first online, published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing
funding
- Safe Data Enabled Economic Development (grant code 825225) [more info...] European Commission
organizations
TU Delft, Faculty of Technology, Policy, and Management, Department of Engineering Systems and Services, Section Information and Communication Technology
DATA
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d352e7d01162cb0d2963bd32230c5ace
README.txt - 14,985 bytesMD5:
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Agahari et al (2022)_grounded table_final.xlsx -
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